Intelligent medicine bottle for medicine use monitoring

Abstract

The invention relates to the technical field of medication monitoring, in particular to an intelligent medicine bottle for medication monitoring. According to the technical scheme, the intelligent medicine bottle for medicine use monitoring is characterized by comprising a bottle body, a display screen, a medicine bottle information module, a patient identity information module and a medicine bottle verification module, the display screen is arranged on the bottle body, and a communication module, the medicine bottle information module, the patient identity information module and the medicine bottle verification module are arranged in the display screen; the display screen is in communication connection with the upper computer through the communication module, and the upper computer is in communication connection with the database. The system not only has high security and privacy protection functions, but also can provide personalized medication schemes, remote monitoring and management functions, data analysis and decision support capabilities, medication compliance and abuse prevention functions, and is a medical health management tool with great value and prospect.

Description

Technical Field

[0001] The present invention relates to the technical field of medication monitoring, and in particular to an intelligent medicine bottle for medication monitoring. Background Art

[0002] In daily life, if you need to take relevant medicines, whether you take them on time will have a great impact on the user's physical and mental health. In response to this, many related smart or electronic medicine boxes have appeared on the market to remind users to take medicine on time. However, these medicine boxes are often simply designed from the perspective of realizing the function of on-time reminders, so the structural design of many medicine boxes is relatively rigid and mechanical, without considering the characteristics and needs of individual patients. This will lead to inaccurate and ineffective medication plans, and traditional medication management methods often lack the ability to systematically collect and analyze patient medication data, and cannot provide scientific medication recommendations and decision-making support. At the same time, there is a lack of effective identity authentication and information protection measures, and there is a risk of patient identity leakage and drug abuse. Summary of the invention

[0003] The present invention provides a smart medicine bottle for monitoring medication, which solves the above-mentioned technical problems.

[0004] The solution of the present invention to solve the above technical problems is as follows: A smart medicine bottle for medication monitoring, characterized in that it comprises a bottle body, a display screen, a medicine bottle information module, a patient identity information module and a medicine bottle verification module, wherein the bottle body is provided with a display screen, the display screen is built with a communication module, a medicine bottle information module, a patient identity information module and a medicine bottle verification module, the display screen is connected to a host computer through the communication module, and the host computer is connected to a database through communication; The medicine bottle verification module collects the image of the human iris through the image acquisition module and uses infrared light to enhance the image quality. Then, the image preprocessing module performs preprocessing operations such as denoising, enhancement, and contrast adjustment on the collected iris image to improve the recognition accuracy. Then, the feature extraction module extracts the unique features of the iris from the preprocessed iris image, such as iris texture, blood vessel distribution, etc., and generates a feature code. Then, the feature matching module compares the extracted feature code with the stored iris feature code to determine whether the match is successful. The template matching algorithm and the similarity measurement algorithm are used. Finally, the decision module decides whether to authorize or reject based on the result of feature matching. The database establishes a data source based on the coefficients for real-time data warehouse of big data. The data source adds medication data in large quantities through the following algorithm. In the medication system, the medication coefficient is obtained based on age, height, weight, gender, years of drug use, and whether there is drug resistance. Big data search technology is used for distributed search and analysis to select the 2,000 most similar data for average value to obtain the user's final medication dosage.

[0005] The beneficial effects of the present invention are: Iris technology is highly secure as a means of identity verification because each person's iris pattern is unique, ensuring that only authorized users can access the medicine bottle. In addition, the use of the medicine bottle verification module can also protect the privacy of patients because the system only displays basic information of the patient, such as name and ID number, without revealing other sensitive information.

[0006] The system uses big data algorithms to calculate the optimal medication dosage based on the patient's personal characteristics and drug usage. This personalized medication plan can better meet the patient's treatment needs, reduce unnecessary drug side effects and the development of drug tolerance, and improve treatment outcomes.

[0007] By connecting to the host computer and database, medical staff can remotely monitor the patient's medication status, including information such as dosage, frequency and time. This remote management function can promptly detect the patient's medication problems and take timely measures to intervene to ensure the effective implementation of the treatment plan.

[0008] The system analyzes medication data through big data algorithms and provides scientific medication recommendations based on the patient's personal characteristics and medication usage. This data-driven decision support can help medical staff better understand the patient's condition and treatment needs, thereby providing more accurate medical services.

[0009] The system displays drug information and medication reminders in real time on the display screen, helping patients establish medication habits and improve medication compliance. At the same time, the system can also record the patient's medication status, including dosage, frequency, and time, which helps prevent drug abuse and overdose and ensures patient safety.

[0010] The intelligent management function of the system can greatly simplify the medical management process, reduce the workload of manual management, and improve the work efficiency of medical staff. This automated management system allows medical staff to have more time and energy to focus on the treatment and care of patients, thereby improving the quality and efficiency of medical services.

[0011] Based on the above technical solution, the present invention can also be improved as follows.

[0012] Furthermore, the display screen displays drug information via a medicine bottle information module.

[0013] Furthermore, the drug information includes the name of the medicine bottle, the total dosage of the medicine bottle, the expiration date, the smart medicine bottle code, the drug manufacturer, the drug batch number and the drug instructions.

[0014] Furthermore, the display screen displays the patient's name, patient ID number, and patient age through the patient identity information module.

[0015] Furthermore, the medicine bottle verification module uses iris technology to bind the smart medicine bottle to the user.

[0016] Furthermore, the display screen medicine bottle verification module displays patient information, smart bottle number, dosage used, total dosage, remaining dosage, frequency of use, first use time, and most recent use time.

[0017] Furthermore, the calculation method is: (age*1+weight*2+height*2+gender*1+years of drug use*3+whether there is drug resistance*5) / 10.

[0018] The above description is only an overview of the technical solution of the present invention. In order to more clearly understand the technical means of the present invention and implement it according to the contents of the specification, the following is a detailed description of the preferred embodiments of the present invention in conjunction with the accompanying drawings. The specific implementation of the present invention is given in detail by the following embodiments and their accompanying drawings. BRIEF DESCRIPTION OF THE DRAWINGS

[0019] The drawings described herein are used to provide further understanding of the present invention and constitute a part of this application. The illustrative embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0020] In the attached picture: Figure 1 It is a schematic diagram of the composition framework of the present invention; DETAILED DESCRIPTION

[0021] The principles and features of the present invention are described below in conjunction with the accompanying drawings. The examples given are only used to explain the present invention and are not used to limit the scope of the present invention. The present invention is described in more detail by way of example with reference to the accompanying drawings in the following paragraphs. The advantages and features of the present invention will become clearer according to the following description and claims. It should be noted that the drawings are all in a very simplified form and are not in precise proportions, and are only used to conveniently and clearly assist in explaining the purpose of the embodiments of the present invention.

[0022] See also Figure 1 As shown, the embodiments provided by the present invention are: Embodiment 1

[0023] A smart medicine bottle for medication monitoring, characterized in that it includes a bottle body, a display screen, a medicine bottle information module, a patient identity information module and a medicine bottle verification module. The bottle body is provided with a display screen, and the display screen has a built-in communication module, a medicine bottle information module, a patient identity information module and a medicine bottle verification module.

[0024] The display screen displays drug information through a medicine bottle information module, and the drug information includes the name of the medicine bottle, the total dosage of the medicine bottle, the expiration date, the smart medicine bottle code, the drug manufacturer, the drug batch number and the drug instructions.

[0025] The display screen displays the patient's name, patient ID number, and patient age through the patient identity information module. The medicine bottle verification module uses iris technology to bind the smart medicine bottle to the user. The medicine bottle verification module collects the image of the human iris through the image acquisition module and uses infrared light to enhance the image quality. Then, the collected iris image is preprocessed by the image preprocessing module, such as denoising, enhancement, and contrast adjustment to improve the recognition accuracy. Then, the unique features of the iris, such as iris texture, blood vessel distribution, etc., are extracted from the preprocessed iris image through the feature extraction module to generate a feature code. Then, the extracted feature code is compared with the stored iris feature code through the feature matching module to determine whether the match is successful. The template matching algorithm and the similarity measurement algorithm are used. Finally, the decision module decides whether to authorize or reject based on the result of feature matching. The display screen medicine bottle verification module displays patient information, smart bottle number, dosage, total dosage, remaining dosage, frequency of use, first use time, and last use time.

[0026] The display screen is connected to the host computer through the communication module, and the host computer is connected to the database. The database establishes a data source based on the coefficient of real-time data warehouse of big data. The data source adds medication data in large quantities through the following algorithm. In the medication system, the medication coefficient is obtained according to age, height, weight, gender, years of drug use, and whether there is drug resistance. The big data search technology is used for distributed search and analysis to select the 2000 most similar data for average value to obtain the final medication dosage of the user. The calculation method is as follows: (age*1+weight*2+height*2+gender*1+years of drug use*3+whether there is drug resistance*5) / 10, where age: the actual age of the patient is taken as the value in years. For example, for a 30-year-old patient, the age parameter value is 30. Weight: the actual weight of the patient is taken as the value in kilograms (kg). For example, for a patient weighing 70 kilograms, the weight parameter value is 70. Height: the actual height of the patient is taken as the value in centimeters (cm). For example, for a patient with a height of 170 centimeters, the height parameter value is 170. Gender: Gender is represented by binary values, with 1 for males and 0 for females. For example, for a male patient, the gender parameter value is 1; for a female patient, the gender parameter value is 0. Years of using the drug: The actual number of years the patient has used the drug is taken as the value, in years. For example, if a patient has used the drug for 3 years, the year of using the drug parameter value is 3. Whether there is drug resistance: Drug resistance is represented by binary values, with 1 for drug resistance and 0 for no drug resistance. For example, for a patient with drug resistance, the whether there is drug resistance parameter value is 1; for a patient without drug resistance, the whether there is drug resistance parameter value is 0. Embodiment 2

[0027] Assume that there is a 30-year-old male patient who weighs 70 kg and is 170 cm tall. He has been using the drug for 3 years and has not developed drug resistance. Then, the parameter values ​​are: Age: 30 Weight: 70 Height: 170 Gender: 1 Years of using the drug: 3 Is there drug resistance: 0 Substitute into the formula to calculate: Medication coefficient = (30*1+70*2+170*2+1*1+3*3+0*5) / 10 = 52 This medication coefficient (52) can be used for subsequent personalized medication dosage calculations. This method combines multiple factors to provide patients with more accurate and personalized medication plans, which helps improve treatment efficacy and safety.

[0028] When a smart medicine bottle for medication monitoring based on Example 1 is used: Iris technology is highly secure as a means of identity verification because each person's iris pattern is unique, ensuring that only authorized users can access the medicine bottle. In addition, the use of the medicine bottle verification module can also protect the privacy of patients because the system only displays basic information of the patient, such as name and ID number, without revealing other sensitive information.

[0029] The system uses big data algorithms to calculate the optimal medication dosage based on the patient's personal characteristics and drug usage. This personalized medication plan can better meet the patient's treatment needs, reduce unnecessary drug side effects and the development of drug tolerance, and improve treatment outcomes.

[0030] By connecting to the host computer and database, medical staff can remotely monitor the patient's medication status, including information such as dosage, frequency and time. This remote management function can promptly detect the patient's medication problems and take timely measures to intervene to ensure the effective implementation of the treatment plan.

[0031] The system analyzes medication data through big data algorithms and provides scientific medication recommendations based on the patient's personal characteristics and medication usage. This data-driven decision support can help medical staff better understand the patient's condition and treatment needs, thereby providing more accurate medical services.

[0032] The system displays drug information and medication reminders in real time on the display screen, helping patients establish medication habits and improve medication compliance. At the same time, the system can also record the patient's medication status, including dosage, frequency, and time, which helps prevent drug abuse and overdose and ensures patient safety.

[0033] The intelligent management function of the system can greatly simplify the medical management process, reduce the workload of manual management, and improve the work efficiency of medical staff. This automated management system allows medical staff to have more time and energy to focus on the treatment and care of patients, thereby improving the quality and efficiency of medical services.

[0034] The above description is only a preferred embodiment of the present invention and does not limit the present invention in any form. Any ordinary technician in the industry can smoothly implement the present invention as shown in the drawings and described above. However, any equivalent changes, modifications and evolutions made by technicians familiar with the profession without departing from the scope of the technical solution of the present invention using the technical content disclosed above are all equivalent embodiments of the present invention. At the same time, any equivalent changes, modifications and evolutions made to the above embodiments based on the essential technology of the present invention are still within the protection scope of the technical solution of the present invention.

Claims

1. A smart medicine bottle for medication monitoring, characterized in that: It includes a bottle body, a display screen, a medicine bottle information module, a patient identity information module and a medicine bottle verification module. The bottle body is provided with a display screen, and the display screen has built-in communication modules, a medicine bottle information module, a patient identity information module and a medicine bottle verification module. The display screen is connected to the host computer through the communication module, and the host computer is connected to the database through communication. The medicine bottle verification module collects the image of the human iris through the image acquisition module and uses infrared light to enhance the image quality. Then, the image preprocessing module performs preprocessing operations such as denoising, enhancement, and contrast adjustment on the collected iris image to improve the recognition accuracy. Then, the feature extraction module extracts the unique features of the iris from the preprocessed iris image, such as iris texture, blood vessel distribution, etc., and generates a feature code. Then, the feature matching module compares the extracted feature code with the stored iris feature code to determine whether the match is successful. The template matching algorithm and the similarity measurement algorithm are used. Finally, the decision module decides whether to authorize or reject based on the result of feature matching. The database establishes a data source by real-time data warehouse of big data based on the coefficient. The data source adds medication data in large quantities through the following algorithm. In the medication system, the medication coefficient is obtained based on age, height, weight, gender, years of drug use, and whether there is drug resistance. The big data search technology is used for distributed search and analysis to select the 2000 most similar data for average value to obtain the final medication dosage of the user.

2. According to claim 1, the smart medicine bottle for monitoring medication is characterized by: The display screen displays drug information via a medicine bottle information module.

3. According to claim 2, a smart medicine bottle for monitoring medication, characterized in that: Drug information includes bottle name, total bottle dosage, expiration date, smart bottle code, drug manufacturer, drug batch number and drug instructions.

4. The smart medicine bottle for medication monitoring according to claim 1, characterized in that: The display screen displays the patient's name, patient ID number, and patient age through the patient identity information module.

5. The smart medicine bottle for medication monitoring according to claim 1, characterized in that: The medicine bottle verification module uses iris technology to bind the smart medicine bottle to the user.

6. The smart medicine bottle for monitoring medication according to claim 1, characterized in that: The display screen medicine bottle verification module displays patient information, smart bottle number, usage dosage, total dosage, remaining dosage, usage frequency, first usage time, and most recent usage time.

7. The smart medicine bottle for monitoring medication according to claim 1, characterized in that: The calculation method is: (age*1+weight*2+height*2+gender*1+years of drug use*3+whether there is drug resistance*5) / 10.

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